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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

About

Rockyou for web fuzzing

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

About

Rockyou for web fuzzing

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

About

Rockyou for web fuzzing

Resources

Readme
Activity

Stars

0 stars

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0 watching

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0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

About

Rockyou for web fuzzing

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content
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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

About

Rockyou for web fuzzing

Resources

Readme
Activity

Stars

0 stars

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0 watching

Forks

0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

About

Rockyou for web fuzzing

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

About

Rockyou for web fuzzing

Resources

Readme
Activity

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Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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OneListForAll

Rockyou for web fuzzing

This is a project to generate huge wordlists for web fuzzing, if you just want to fuzz with a good wordlist use the file onelistforallmicro.txt.

Due to GitHub's size file limitations I had to split all the files bigger than 50M in different files with the following taxonomy technology[1-99]_long.txtIf you want to recreate the original file just run, for example the apache long dict cat dict/apache* > dict/apache_long.txt

The wordlists mentioned at the bottom of this pages are merged by technology/type and differenced by _short and _long suffixes. So you can search by any technology or software and fuzz the target site with a small list or the long one. Also, this projects provides three of all-in-one wordlists:

  • onelistforall.txt (everything merged, both _short.txt and _long.txt files, cleaned and deduplicated, zipped 7z multi)
  • onelistforallshort.txt (merged only _short.txt files, cleaned and deduplicated)
  • onelistforallmicro.txt (my favorite, manually crafted and constantly updated, with interesting files and low-hanging fruits findings)

Usage

Method 1

  1. Go to releases and download the latest

  2. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Method 2

Build your own wordlists!

Requirement: install duplicut by yourself :)

  1. Add your wordlists to dict/ folder with suffix _short.txt for short wordlist and _long.txt for the full wordlist.

  2. Run ./olfa.sh (olfa -> One List For All) and you will have onelistforall.txt file and onelistforallshort.txt.

  3. Fuzz with the best tool ffuf :)

ffuf -c -w onelistforall.txt -u [target.com]/FUZZ

Wordlists summary

  • onelistforallmicro.txt manally crafted wordlist for low hanging fruits: 18109 lines, 298K
  • onelistforallshort.txt a shortened version, it also contains a lot of things, but in a more affordable way: 892361 lines, 15M
  • onelistforall.txt basically everything, launch it and go to sleep. 59076819 lines, 1.2G

Sources

This is a wordlists project for fuzzing purposes made from the best word lists currently available,merged and deduplicated later with duplicut, adding cleaner from BonJarber. The lists used have been selected from these repositories:

Feel free to contribute, PR are welcomed.

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